A new study targets feature selection, a key step in machine learning where the algorithm determines which parts of the input data are most relevant to making accurate predictions.
Andrey Feldman
Andrey got his B.Sc. and M.Sc. degrees in elementary particle physics from Novosibirsk State University, and a Ph.D. in string theory from the Weizmann Institute of Science. Currently, he works as a science writer, specializing in physics, space, and technology.
New calculation sheds light on the structure of neutron stars
Scientists figure out how different factors, like temperature, density, and pressure, relate to each other in the matter inside neutron stars.
Windows that cool themselves could cut AC costs
This new high-tech window glass reflects heat and radiates excess warmth into space, slashing air conditioning energy use by up to 40%.
XRISM solves star formation mystery in galaxy clusters
New high-resolution X-ray data reveal that turbulent gas motion, not just black hole activity, prevents star formation in cluster cores.
Switching fiber optic cables from round to rectangular shown to enhance data speeds
Rectangular fiber optic cables could increase data transfer rates, benefiting telecommunications and quantum computing advancements.
A new method to track skyrmions, tiny magnetic whirls formed by atomic magnetism
Harnessing skyrmions’ random motion and low energy requirements, this discovery could lead to more efficient and powerful computing technologies.
Researchers replicate gravitational lensing in the lab
Lenses help researchers mimic the way massive cosmic objects bend light—bringing the elusive effects of gravitational lensing to Earth.
Low-cost quantum sensors could enhance EV battery monitoring
These low-cost quantum sensors detect tiny magnetic field changes and could help identify early battery issues in electric vehicles.
Gas filaments could help explain how supermassive black holes get so big
New observations suggest elongated gas filaments that stretch into space may be feeding supermassive black holes.
Unwanted vibrations strengthen quantum dots for secure communication
Once disruptive, phonons now improve quantum dots’ behavior, making them more reliable for quantum communication and cryptography.